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Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance.

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Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance., , , , , and . CoRR, (2023)Fully Automated Segmentation Using Distance Regularised Level Set and Deep-Structured Learning and Inference., and . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)Transfer learning approaches to recognize X-ray Covid-19 images., , and . EDOC Workshops, page 9-17. IEEE, (2021)Models of adaptive control system design for nonlinear dynamic plants based on a neural network., , , and . Autom. Remote. Control., 76 (3): 493-499 (2015)Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks., and . ICIP, page 695-699. IEEE, (2013)Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance., , and . Medical Image Anal., (2017)Sports Data Management, Mining, and Visualization., , , , , , and . AINA (2), volume 450 of Lecture Notes in Networks and Systems, page 141-153. Springer, (2022)Deep Learning in Semantic Segmentation of Rust in Images., , , , , and . ICSCA, page 129-132. ACM, (2020)Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference., and . CVPR, page 3118-3125. IEEE Computer Society, (2014)Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference., and . ICIP, page 2140-2143. IEEE, (2015)